Research on Human-AI Collaborative Iterative Symbiosis Teaching Mode——Analysis of the Integration and Practical Effect of AIGC
At present,generative learning in practice still faces the challenge of insufficient autonomy of students and difficult to meet personalized learning needs,while the rapid development of artificial intelligence generated content(AIGC)technology has injected new vitality into the field of education and exhibited potential in promoting the optimization and reform of generative learning.Therefore,grounded in socio-cultural activity theory,this paper proposed a three-dimensional theoretical framework for AIGC-empowered teaching.Accordingly,guided by the SOI(Select-Organize-Integrate)framework,a human-AI collaborative iterative symbiosis teaching mode was constructed.After that,through a quasi-experimental study of Python course in vocational school,the effectiveness of this mode was verified.The results showed that the human-AI collaborative iterative symbiosis teaching mode significantly improved students'academic performance,learning motivation,and self-efficacy,among which the self-efficacy was the largest,while the improvement effect of academic performance and learning motivation was relatively small.Through research,this paper was expected to drive the innovation of teaching models in the artificial intelligence age and provide valuable theoretical guidance and practical reference for improving generative learning effectively.
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